Dockerfile.agent-python

FROM public.ecr.aws/docker/library/python:3.12-bookworm
COPY --from=public.ecr.aws/awsguru/aws-lambda-adapter:0.8.4 /lambda-adapter /opt/extensions/lambda-adapter

ARG APP_DIR
ARG WITH_LOCAL_DEPS

ENV POETRY_VIRTUALENVS_CREATE=false

# Install Poetry
RUN pip install poetry

# Copy SDK and install dependencies first
COPY sdk-python/ /opt/sdk-python
WORKDIR /opt/sdk-python
RUN pip install -e .

# Create working directory
WORKDIR /asset

# Copy entire agent directory
COPY ${APP_DIR}/ ./

# Install dependencies step by step to avoid conflicts
RUN pip install -U "langgraph-cli[inmem]>=0.1.64"
RUN pip install "crewai==0.118.0" "crewai-tools>=0.42.2" --force-reinstall
# Install pydantic first since langchain depends on specific versions
RUN pip install "pydantic>=2.7.4,<3.0.0"
# Now install langchain packages
RUN pip install "langchain>=0.3.4,<0.4.0" \
                "langchain-openai>=0.2.5,<0.3.0" \
                "langchain-anthropic>=0.3.3,<0.4.0" \
                "langchain-google-genai>=2.0.5,<3.0.0" \
                "langchain-community>=0.3.1,<0.4.0" \
                "langchain-core>=0.3.25,<0.4.0"
# Install remaining dependencies
RUN pip install "openai>=1.52.1,<2.0.0" \
                "python-dotenv>=1.0.1,<2.0.0" \
                requests \
                "fastapi>=0.110.0,<0.111.0" \
                "uvicorn>=0.31.0,<0.32.0" \
                pandas \
                typing-extensions \
                tavily-python \
                html2text

RUN mkdir -p .langgraph_api

# Use poetry run for compatibility with example projects
CMD ["poetry", "run", "demo"]